Investigating Journal Citation Network with Centrality Measures in the Public Administration and Policy Field
نویسندگان
چکیده
منابع مشابه
Using network centrality measures to improve national journal classification lists
Research productivity for the scholar is often evaluated on the basis of his/her journal articles; however, specific journals are said to possess a higher measure of impact than others (Archambault & Larivière, 2009; Garfield, 2006; Glänzel & Moed, 2002). When a scholar decides where to publish, (s)he might consider a journal’s impact factor. Although Garfield (1973) claimed that citation count...
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We report on first results of a cooperation aiming at the usage of graph drawing techniques to convey domain-specific information contained in policy or, more general, social networks. Policy network analysis is an approach to study policy making processes, structures and outcomes, thereby concentrating on the analysis of relations between policy actors. An important operational concept for the...
متن کاملContent Analysis of the Articles Published in the Journal of Public Administration in University of Tehran
Objective: In this research, we are going to analyze the content of articles published in “Journal of Public Administration” dependent to University of Tehran as a prominent journal in the field of public administration in Iran. Methods: The research method applied in this research is content analysis and the statistical population is 291 articles published in the Journal of Public Administrat...
متن کاملthe u.s. policy in central asia and its impact on the colored revolutions in the region (the case study of tulip revolution in kyrgyzstan)
چکیده ندارد.
15 صفحه اولEgocentric and sociocentric measures of network centrality
Egocentric centrality measures (for data on a node’s first-order zone) parallel to Freeman’s [Social Networks 1 (1979) 215] centrality measures for complete (sociocentric) network data are considered. Degree-based centrality is in principle identical for egocentric and sociocentric network data. A closeness measure is uninformative for egocentric data, since all geodesic distances from ego to o...
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ژورنال
عنوان ژورنال: Journal of Digital Convergence
سال: 2016
ISSN: 1738-1916
DOI: 10.14400/jdc.2016.14.9.301